Why this work is in the frame
A frame that forgets how it found something cannot be audited. These are the routes that admitted this work.
Bibliographic record
Abstract
The governance of research ethics in Canada, including its research ethics boards (REBs), which correspond to the institutional review boards in the U.S., often is portrayed as an exemplary model of cross-disciplinary cooperation and consultation that is altruistically striving to protect research subjects from abuses in biomedical, social sciences, and humanities research. While there is indeed a great deal of altruism and good intention among those involved in this governance, power and interests also play a role that is of particular concern for political scientists. Governance arrangements have been driven by biomedical research, which is vastly better funded than social sciences and humanities (SSH) research. These arrangements have been imposed on the SSH research community with little sensitivity to the distinctive problems of SSH research, despite concerns about such problems that political scientists and other SSH researchers have expressed for a decade. A recent proposal initiated by major research funders to dramatically strengthen research ethics governance has generated even more alarm.
Fetched live from OpenAlex and de-inverted. Abstracts are not stored in this database: the inverted indexes are 8.6 GB of the frame’s 9.3 GB of text, and the host has 13 GB free.
Full frame distilled prediction
Teacher imitationNot calibrated prevalence, not ground truth. Human validation pending. Learned from the 10,348 direct Codex labels and 10,348 direct Gemma labels. Candidate is the union of thresholded teacher heads; consensus is their intersection. These outputs are machine_predicted_unvalidated and are not human labels or direct frontier model labels.
Codex and Gemma teacher scores by category
| Category | Codex | Gemma |
|---|---|---|
| Metaresearch | 0.022 | 0.154 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.000 | 0.003 |
| Science and technology studies | 0.002 | 0.043 |
| Scholarly communication | 0.000 | 0.000 |
| Open science | 0.001 | 0.001 |
| Research integrity | 0.000 | 0.008 |
| Insufficient payload (model declined to judge) | 0.000 | 0.000 |
Machine scores (provisional)
The two teacher heads of the student model, read on this work. A score orders the frame for review; it never asserts a category, and the validation status ships verbatim with every row.
Baseline scores from an immature model (maturity gate not passed, 7 training rounds). Scores rank; they never assert a category.
score_only:v0-immature-baseline · verbatim from the scoring run: score_only means the number may rank works, and no category label ships from it